A recognition, monitoring, and imaging method and system are provided for a thermal ablation region based on ultrasonic deep learning. The recognition method includes obtaining original ultrasonic radiofrequency data, an ultrasonic image, and an optical image during thermal ablation; making ultrasonic radiofrequency data points and pixels in the optical image correspond in a one-to-one manner, and determining a spatial position correspondence between the ultrasonic radiofrequency data points and the optical image; determining a thermal ablation region image according to the spatial position correspondence; constructing a deep learning model according to the thermal ablation region image; superposing a thermal ablation classification image to the ultrasonic image, to determine a to-be-recognized thermal ablation image; and recognizing a thermal ablation region in the ultrasonic image according to the to-be-recognized thermal ablation image. The method and system improve recognition accuracy of the thermal ablation region in the ultrasonic image.
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